Machine Learning Quiz - abhiraj

What will happen to the bias if you increase the size of your dataset?

• Bias increase

• Bias Decrease

• Bias remains the same

Which of the following is false?

• Linear regression is scale invarient

• Normalization doesn't affect the output of linear regression model

• Logistic regression is scale invarient

• None

Why we do not use the mean squared cost function in logistic regression?

• Function is not differentiable

• Function is not convex

• none

What happens to the variance if the complexity of your model increases?

• Stays same

• decrease

• increase

• none

What regularization is better for feature selection?

• L1

• L2

• Both are equally good

• None

What is the time complexity of gradient descent algorithm?

K: Number of iterations
X: Number of independant variables
N: Number of datapoints in dataset

• XN

• NNX

• NL

• NKX

Can we get multiple local minimal solutions for linear regression if we use sum of squared residuals as cost function?

• True

• False

Is lasso regularization scale invariant?

• True

• False

Which of the following is the derivative of logistic function g(x).

• g(x)(1-g(x))

• g(x)(1+g(x))

• g(x)(1-g(x))e^x

• g(x)/(1-g(x))

What will happen if you decrease the size of training dataset?

• Model is more likely to overfit

• Nothing happens

• Model is more likely to underfit